Associative Learning - PowerPoint PPT Presentation

About This Presentation
Title:

Associative Learning

Description:

Associative Learning – PowerPoint PPT presentation

Number of Views:41
Avg rating:3.0/5.0
Slides: 40
Provided by: jasm175
Learn more at: http://polymer.bu.edu
Category:

less

Transcript and Presenter's Notes

Title: Associative Learning


1
Associative Learning
2
Challenge Questions
  • You are a psychologist treating a patient who is
    addicted to smoking. Explain how you would treat
    the patients addiction.
  • You are a therapist who has a patient with a fear
    of spiders. Their spouse loves the outdoors and
    this fear interfering with their marriage. How
    would you treat this patient?
  • You are a coach of a football team and your
    quarterback is throwing too many incomplete
    passes. Explain how you would use learning theory
    to help his game.

3
The Smokers Brain
  • The smoker would care.
  • Nicotine influences the levels of certain
    neurotransmitters.
  • Nicotine can prevent the break down of dopamine,
    increasing its presence in brain neurons.
  • This causes the pleasurable effects of smoking.

4
The Phobics Brain
  • The amygdala is activated by a relatively
    harmless stimulus.
  • This creates a fear response.
  • In a patient with a phobia inhibition by the
    prefrontal cortex does not occur.

5
The Quarterbacks Brain
  • The cerebellum coordinates and controls movement.
  • Despite its small volume, it contains nearly half
    the cells in the entire brain.
  • Cerebellar damage impairs the timing of ones
    movements.

6
Outside of the Black Box
  • Learning is something that can be observed
    without observing the brain directly.
  • In fact, behavioral psychologists treat the
    nervous system as a black box and focus mainly
    on relationships among observable stimuli and
    behaviors.

7
ASSOCIATIVE LEARNING
There are two types of associative learning
  • Classical conditioning learning associations
    between objects.
  • learning associations between objects.
  • Operant conditioning learning that, in a
    particular situation, a certain response leads to
    a certain outcome.

8
Classical Conditioning
9
Ivan Pavlov
  • Classical Conditioning was discovered by the work
    of Ivan Pavlov.
  • He was studying digestive physiology for which he
    won the Noble Prize.

10
CLASSICAL CONDITIONING
  • An object or an event that you sense is referred
  • to as a stimulus
  • We distinguish two types of stimuli and responses
  • Unconditioned stimulus (US)
    A stimulus that naturally
    evokes a response or reflex called the
    Unconditioned Response (UR)
  • Conditioned stimulus (CS) A stimulus that does
    not naturally evoke a response. However, it can
    acquire the ability to elicit the response,
    called the Conditioned Response (CR).

11
PAVLOVS EXPERIMENT
12
Stimulus Generalization
  • Stimulus Generalization occurs when animals
    respond more to stimuli that are similar to the
    original than to those which are different.
  • Example The dog in Pavlovs experiment would
    also salivate to tones of similar frequencies to
    the original.

13
Stimulus Generalization Gone Wrong!
  • In 1920, little Albert, an eleventh month old
    orphan, learned to fear a rabbit.
  • Eventually all white fuzzy objects caused the
    same fear in little Albert even though they were
    not paired with the US (loud sound).

14
Stimulus Discrimination
  • Stimulus Discrimination occurs when animals are
    conditioned to respond to one specific CS and not
    others.
  • Example Only a tone of a specific frequency is
    followed by food. Other tone frequencies are
    presented without food. As a result, the dog only
    salivates after the tone of a specific frequency.

15
The Sequence of Events
  • Acquisition the gradual increase in the strength
    of a response that occurs with the pairing of a
    CS with a US.
  • Extinction occurs when the CS is presented
    without the US causing a decrease in the strength
    of the response.

16
Classical or Pavlovian Conditioning
Graph from Myers 6th Ed.
17
Operant Conditioning
18
OPERANT CONDITIONING
  • The frequency of a behavior is influenced by the
    presence or absence of a rewarding or aversive
    event after the expression of this behavior
  • This theory is called Behaviorism

B.F. Skinner developed the Skinner box to study
this type of learning in pigeons. The pigeons
learned to press levers to receive a reward!
19
Sequence of Events
  • Acquisition The animals response produces a
    reinforcer.
  • Example A rat presses a bar that produces food.
    The rat will begin to press the bar more
    frequently.
  • Extinction The animals response no longer
    produces a reinforcer.
  • Example A rat presses a bar but it no longer
    produces food. The rat will press the bar less
    frequently.

20
Schedules of Reinforcement
21
Examples of Schedules
Variable Ratio Schedule A rat is given food for
pressing a lever an average of 3 times.
Fixed Ratio Schedule A rat is given food for
pressing a lever every 3 times.
Fixed Interval Schedule A rat is given food for
pressing a lever after 1 minute has elapsed.
Variable Interval Schedule A rat is given food
for pressing a lever after an average of
22
Associative LearningADAPTIVE TIMINGADVANCED
MODELINGCLASSROOM PRESENTATION
23
WHAT NEEDS TO BE MODELED?
Anatomy
Neurophysiology
A Complete Circuit!
24
EXPERIMENTAL PROTOCOL
  • US air puff

CS sound
UR, CR nictitating membrane extension
Learning phase for a selected number of trials,
the sound is presented before the air puff (in
delay or trace conditioning) Testing phase
the sound alone is presented to test for CR
25
TIMING IS EVERYTHING!
  • The eye blink is a very transient response must
    be made just prior to the air puff.
  • If it is done too late, the eye is not protected
    when the air puff occurs.
  • If it is done too early, the eye is not protected
    either since the blink ends too early!

26
EXPLAINING ADAPTIVE TIMING
  • How does the brain learn to execute the right
    response at the right time?
  • We need to consider the neural circuits involved
    in producing the eye blink response
  • The critical structure is the cerebellum

27
THE BIG ISSUES
  • The brain must have a way to keep track of time.
    It must have some kind of internal clock
  • Learning may take place over many trials
    learning occurs at a certain rate which can vary
  • Both aspects can be studied through mathematical
    models

28
INTERNAL CLOCK IN THE CEREBELLUM
  • Through a complex chemical process, some cells in
    the cerebellum can represent how much time has
    elapsed since a conditioned stimulus (CS) was
    presented
  • The same cells can also learn to associate the
    unconditioned stimulus (US) with the CS
  • Thus, these cells learn to time conditioned
    responses (CR)

29
ANATOMY OF A NEURON
30
CEREBELLAR CIRCUIT
  • The circuitry involved in adaptive timing
    involves a several types of cells connected in
    very specific circuits
  • The diagram illustrates that different circuits
    or pathways support specific sensory input (US,
    CS) and motor output (CR)

31
US PATHWAY
The US signal due to the air puff to the eye
travels in the pathway outlined in red First it
is relayed to the inferior olivary cell Then it
is communicated the Purkinje cell through
climbing fibers
32
CS PATHWAY
The CS signal due to the tone travels in the
pathway outlined in green First it is relayed to
the pontine nuclei Then it is sent to granule
cells through mossy fibers Finally, it reaches
Purkinje cells via parallel fibers
33
CR PATHWAY
Purkinje cells influence cells in the
interpositus nuclei, which directly control the
expression of the CR through a series of
projections ending at the facial nucleus The
facial nucleus emits the appropriate motor
response to cause the blink
34
The Central Circuitry Involved in Adaptive Timing
35
Required Parameters for the Cerebellar Model of
Adaptive Timing of Eye Blinks
36
A NEURAL NETWORK MODEL OF ADAPTIVE TIMING
INQUIRY THROUGH SOFTWARE 1
Model 1 Simple user interface for virtual
experiments (for less experienced students)
37
A NEURAL NETWORK MODEL OF ADAPTIVE TIMING
INQUIRY THROUGH SOFTWARE 1
38
A NEURAL NETWORK MODEL OF ADAPTIVE TIMING
INQUIRY THROUGH SOFTWARE 2
Model 2 More complex interface for more
experienced users
39
A NEURAL NETWORK MODEL OF ADAPTIVE TIMING
INQUIRY THROUGH SOFTWARE 3
Model 3 Most functionality for most experienced
users
Write a Comment
User Comments (0)
About PowerShow.com